When is a biopsy needed to diagnose a kidney disease? This is handled very differently around the world, a new study finds. This could result in adverse patient outcomes, the researchers warn.
Patients with a common aggressive type of bladder cancer could get correct treatment significantly quicker as new research suggests that initial MRI imaging and biopsy could reduce wait times.
The world of comic book heroes and villains is filled with trauma of all kinds. A new study explores how these tales of hardship can help find better treatments for mental health issues in children.
Promising technology for patients with spinal cord injuries: A new study paves the way for complex touch sensation through brain stimulation, using an extracorporeal bionic limb.
The vaccine to protect against Hepatitis E is given in a 3-dose regimen. However, in an epidemic setting, two doses have also proven effective, a new study shows.
Improved breast cancer detection, reduced workload for radiologists: The world’s largest prospective study on AI in Germany’s Mammography Screening Program reveals the technology's benefits.
A new study on the future of work in nursing homes finds that robot use is associated with increased employment and staff retention, improved productivity and a higher quality of care.
More than just a sports injury: A new study shows that head trauma may activate latent viruses, leading to neurodegenerative conditions such as Alzheimer’s disease and Parkinson’s disease.
Researchers have developed an AI-based model to better predict whether cancer patients will benefit from immunotherapy — using only routine blood tests and clinical data.
Paediatric brain tumours are difficult to diagnose and treat – especially, when delays occur. A new study explored the impact of the Covid-19 pandemic on children with brain tumours.
Researchers uncovered a surprising link between Alzheimer’s disease and herpes simplex virus-1 (HSV-1), suggesting that viral infections may play a role in the disease.
Ovarian cancer is common and often only detected by chance. A newly developed AI-based model could help differentiate between benign and malignant ovarian lesions.
"Negative" results are good, and CAT scans are taken without felines: Medical jargon can be confusing for children, so pediatrics experts call for clearer language to avoid invoking fear.
Women with breast implants should regularly attend follow-up care to avoid the risk of "silent" implant ruptures and their long-term complications, experts caution in a new publication.
More than half of pregnant women in the UK with gestational diabetes are unaware of their condition due to insufficient diagnostics, a study suggests. This could lead to unneccessary complications.
In a new study, researchers have shown, for the first time, that a particular form of MRI, called diffusion tensor imaging, is capable of robustly detecting pre-malignant lesions in the pancreas.
Analyses of self-tests for human papillomavirus (HPV) can be used to divide HPV-positive women into three risk groups, according to a new study. This could enhance cervical cancer screening.
Can an AI determine whether or not a person drinks beer by looking at their knee X-rays? It can't – but the claim shows why “shortcut learning” is such a dangerous mechanism in medical AI.
Treating patients with Hodgkin lymphoma with a different form of chemotherapy shows promise to reduce severe side effects, shorten hospital time and increase likelihood of recovering fertility.
A new study shows that a simplified, low-field MRI machine, augmented with machine learning tools, matches conventional MRI in measuring brain characteristics relevant to Alzheimer's disease.
New study results could help detect whether a newborn baby with fever has sepsis or another serious bacterial infection, without the need for invasive testing.
Experts have used magnetic resonance imaging (MRI) to better understand the impact a gluten free diet has on people with celiac disease, which could be the first step towards new treatments.
A new MRI-based imaging technique predicts the response of ovarian cancer tumours to treatment, and rapidly reveals how well treatment is working, in patient-derived cell models.
Spinal cord stimulation is performed for patients with chronic pain. However, for some patients, the procedure is not effective. A new method involving fMRI could help predict success.
Large language models (LLM) show promise in detecting hospital patients at risk of committing suicide. This could help warn medical staff in time while maintaining the patients' privacy.
